错误方式:[[None*m]*n]

>>> m, n = map(int, raw_input().split())
5 5
>>> x[0][0] = 34
>>> x
[[34, None, None, None, None], [34, None, None, None, None], [34, None, None, None, None], [34, None, None, None, None], [34, None, None, None, None]]
>>> id(x[0][0])
140416461589776
>>> id(x[3][0])
140416461589776

使用这种方法，python不允许为外层列创建不同的地址空间，这将导致各种超出您预期的错误行为。

正确方法，但有例外:

y = [[0 for i in range(m)] for j in range(n)]
>>> id(y[0][0]) == id(y[1][0])
False

这是一个很好的方法，但如果您将默认值设置为None，则会有例外

>>> r = [[None for i in range(5)] for j in range(5)]
>>> r
[[None, None, None, None, None], [None, None, None, None, None], [None, None, None, None, None], [None, None, None, None, None], [None, None, None, None, None]]
>>> id(r[0][0]) == id(r[2][0])
True

因此，使用这种方法正确地设置默认值。

绝对正确的:

跟着麦克风的双循环回复。

from random import randint
l = []

for i in range(10):
    k=[]
    for j in range(10):
        a= randint(1,100)
        k.append(a)

    l.append(k)




print(l)
print(max(l[2]))

b = []
for i in range(10):
    a = l[i][5]
    b.append(a)

print(min(b))

[[foo for x in xrange(10)] for y in xrange(10)]

lst=[[0]*n]*m
np.array(lst)

初始化所有矩阵m=行和n=列

正如@Arnab和@Mike指出的，数组不是列表。不同之处在于:1)数组在初始化时是固定大小的;2)数组通常支持比列表更少的操作。

也许在大多数情况下有点多余，但这里有一个基本的2d数组实现，它利用python ctypes(c库)实现硬件数组。

import ctypes
class Array:
    def __init__(self,size,foo): #foo is the initial value
        self._size = size
        ArrayType = ctypes.py_object * size
        self._array = ArrayType()
        for i in range(size):
            self._array[i] = foo
    def __getitem__(self,index):
        return self._array[index]
    def __setitem__(self,index,value):
        self._array[index] = value
    def __len__(self):
        return self._size

class TwoDArray:
    def __init__(self,columns,rows,foo):
        self._2dArray = Array(rows,foo)
        for i in range(rows):
            self._2dArray[i] = Array(columns,foo)

    def numRows(self):
        return len(self._2dArray)
    def numCols(self):
        return len((self._2dArray)[0])
    def __getitem__(self,indexTuple):
        row = indexTuple[0]
        col = indexTuple[1]
        assert row >= 0 and row < self.numRows() \
               and col >=0 and col < self.numCols(),\
               "Array script out of range"
        return ((self._2dArray)[row])[col]

if(__name__ == "__main__"):
    twodArray = TwoDArray(4,5,5)#sample input
    print(twodArray[2,3])

Python中经常出现的一个模式是

bar = []
for item in some_iterable:
    bar.append(SOME EXPRESSION)

这有助于推动列表推导式的引入，它将代码片段转换为

bar = [SOME_EXPRESSION for item in some_iterable]

这样更简短，有时也更清楚。通常，您会养成识别这些循环的习惯，并经常用推导式替换循环。

您的代码遵循此模式两次

twod_list = []                                       \                      
for i in range (0, 10):                               \
    new = []                  \ can be replaced        } this too
    for j in range (0, 10):    } with a list          /
        new.append(foo)       / comprehension        /
    twod_list.append(new)                           /